Detecting and dating structural breaks in functional data without dimension reduction
Author:
Affiliation:
1. University of California at Davis; USA
2. University of Waterloo; Canada
Publisher
Wiley
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1111/rssb.12257/fullpdf
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3. Evaluating stationarity via change-point alternatives with applications to FMRI data;Aston;Ann. Appl. Statist.,2012b
4. Aue , A. van Delft , A. 2017 Testing for stationarity of functional time series in the frequency domain Preprint https://arxiv.org.abs/1701.017411
5. On the prediction of stationary functional time series;Aue;J. Am. Statist. Ass.,2015
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